A modified observer/Kalman filter identification (OKID) algorithm employing output residuals

Faculty Engineering Year: 2019
Type of Publication: ZU Hosted Pages: 636–643
Authors:
Ahmed Mahmoud Abdelrahman Elanany
Journal: International Journal of Dynamics and Control Springer Volume: 7
Keywords : , modified observer/Kalman filter identification (OKID) algorithm employing    
Abstract:
The observer/Kalman filter identification (OKID) is an algorithm widely used for the identification of state space models. The standard OKID algorithm involves the estimation of the Kalman filter and system Markov parameters, followed by th
    
     
 
       

Author Related Publications

  • Ahmed Mahmoud Abdelrahman Elanany, "Improved subspace identication with prior information using constrained least-squares", IET, 2011 More
  • Ahmed Mahmoud Abdelrahman Elanany, "Subspace Algorithms for Identifying Separable in Denominator 2-D Systems with Deterministic Inputs", IET, 2011 More
  • Ahmed Mahmoud Abdelrahman Elanany, "Recursive subspace identification with prior information using the constrained least squares approach", Elsevier, 2013 More
  • Ahmed Mahmoud Abdelrahman Elanany, "Simple tuning rules of PID controllers for integrator/dead time processes", ICGST, 2005 More
  • Ahmed Mahmoud Abdelrahman Elanany, "Subspace Identification of 2-D CRSD Roesser Models With Deterministic-Stochastic Inputs: A State Computation Approach", IEEE, 2017 More

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